Milena Iwaszko

700 total citations · 1 hit paper
19 papers, 505 citations indexed

About

Milena Iwaszko is a scholar working on Immunology, Oncology and Rheumatology. According to data from OpenAlex, Milena Iwaszko has authored 19 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 5 papers in Oncology and 5 papers in Rheumatology. Recurrent topics in Milena Iwaszko's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Milena Iwaszko is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Milena Iwaszko collaborates with scholars based in Poland, Greece and Croatia. Milena Iwaszko's co-authors include Katarzyna Bogunia‐Kubik, Jerzy Świerkot, Sławomir Jeka, Barbara Wysoczańska, Piotr Wiland, Marzena Ciechomska, Lucyna Korman, Marta Dratwa, Katarzyna Gębura and Alexandra Tsirogianni and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Milena Iwaszko

18 papers receiving 501 citations

Hit Papers

Significance of Interleukin (IL)-4 and IL-13 in Inflammat... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milena Iwaszko Poland 12 258 136 119 86 70 19 505
Lisa Göschl Austria 10 438 1.7× 127 0.9× 217 1.8× 39 0.5× 111 1.6× 20 729
K Ksiezopolska-Pietrzak Poland 4 338 1.3× 184 1.4× 78 0.7× 94 1.1× 112 1.6× 5 526
Deborah Cluxton Ireland 5 284 1.1× 69 0.5× 101 0.8× 40 0.5× 60 0.9× 5 438
Parisa Amjadi United Kingdom 13 482 1.9× 143 1.1× 160 1.3× 63 0.7× 146 2.1× 15 762
Eunkyeong Jang South Korea 11 396 1.5× 62 0.5× 193 1.6× 50 0.6× 51 0.7× 25 666
Milena Ivanova Bulgaria 14 361 1.4× 53 0.4× 143 1.2× 97 1.1× 123 1.8× 51 666
Debbie Roeleveld Netherlands 9 146 0.6× 115 0.8× 183 1.5× 44 0.5× 67 1.0× 15 422
Klára Prajzlerová Czechia 10 115 0.4× 202 1.5× 136 1.1× 71 0.8× 41 0.6× 23 406
Alessandra Penatti Italy 7 226 0.9× 241 1.8× 73 0.6× 49 0.6× 49 0.7× 10 481
Lisa Ronacher United States 7 273 1.1× 65 0.5× 209 1.8× 35 0.4× 63 0.9× 7 496

Countries citing papers authored by Milena Iwaszko

Since Specialization
Citations

This map shows the geographic impact of Milena Iwaszko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Milena Iwaszko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Iwaszko more than expected).

Fields of papers citing papers by Milena Iwaszko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milena Iwaszko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Milena Iwaszko. The network helps show where Milena Iwaszko may publish in the future.

Co-authorship network of co-authors of Milena Iwaszko

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Iwaszko. A scholar is included among the top collaborators of Milena Iwaszko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milena Iwaszko. Milena Iwaszko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Świerkot, Jerzy, et al.. (2023). Association of MICA and NKG2D genetic variants with disease susceptibility and outcome of anti-TNF therapy in patients with axial spondyloarthritis. Clinical and Experimental Rheumatology. 42(7). 1359–1367. 1 indexed citations
3.
Iwaszko, Milena, et al.. (2022). Th2 Cytokines (Interleukin-5 and -9) Polymorphism Affects the Response to Anti-TNF Treatment in Polish Patients with Ankylosing Spondylitis. International Journal of Molecular Sciences. 23(21). 13177–13177. 8 indexed citations
4.
Iwaszko, Milena, Jerzy Świerkot, Barbara Wysoczańska, et al.. (2021). Relationship Between Interleukin-6 −174G/C Genetic Variant and Efficacy of Methotrexate Treatment in Psoriatic Arthritis Patients. Pharmacogenomics and Personalized Medicine. Volume 14. 157–166. 6 indexed citations
6.
Tarassi, Katerina, Milena Iwaszko, Barbara Wysoczańska, et al.. (2021). Shared epitope and polymorphism of MICA and NKG2D encoding genes in Greek and Polish patients with rheumatoid arthritis. Central European Journal of Immunology. 46(1). 92–98. 11 indexed citations
7.
Iwaszko, Milena, et al.. (2021). Significance of Interleukin (IL)-4 and IL-13 in Inflammatory Arthritis. Cells. 10(11). 3000–3000. 186 indexed citations breakdown →
8.
Iwaszko, Milena, Jerzy Świerkot, Marta Dratwa, et al.. (2020). Association of MICA-129Met/Val polymorphism with clinical outcome of anti-TNF therapy and MICA serum levels in patients with rheumatoid arthritis. The Pharmacogenomics Journal. 20(6). 760–769. 14 indexed citations
9.
Świerkot, Jerzy, Marta Dratwa, Milena Iwaszko, et al.. (2020). Polymorphisms within the RANK and RANKL Encoding Genes in Patients with Rheumatoid Arthritis: Association with Disease Progression and Effectiveness of the Biological Treatment. Archivum Immunologiae et Therapiae Experimentalis. 68(4). 24–24. 11 indexed citations
10.
Dratwa, Marta, Jerzy Świerkot, Lucyna Korman, et al.. (2018). Interleukin 6 gene polymorphism is associated with protein serum level and disease activity in Polish patients with rheumatoid arthritis. HLA. 92(S2). 38–41. 13 indexed citations
11.
Iwaszko, Milena, et al.. (2018). Influence of NKG2D Genetic Variants on Response to Anti-TNF Agents in Patients with Rheumatoid Arthritis. Genes. 9(2). 64–64. 21 indexed citations
12.
Bogunia‐Kubik, Katarzyna, et al.. (2016). Significance of Polymorphism and Expression of miR-146a and NFkB1 Genetic Variants in Patients with Rheumatoid Arthritis. Archivum Immunologiae et Therapiae Experimentalis. 64(S1). 131–136. 67 indexed citations
13.
Butrym, Aleksandra, Katarzyna Gębura, Milena Iwaszko, et al.. (2016). Dual role of the CXCL12 polymorphism in patients with chronic lymphocytic leukemia. HLA. 87(6). 432–438. 2 indexed citations
14.
Iwaszko, Milena, et al.. (2015). Influence of CD94 and NKG2A variants on susceptibility to rheumatoid arthritis and efficacy of anti-TNF treatment. Joint Bone Spine. 83(1). 75–79. 12 indexed citations
16.
Gębura, Katarzyna, Milena Iwaszko, Jerzy Świerkot, et al.. (2014). Significance of association of HLA-C and HLA-E with psoriatic arthritis. Human Immunology. 75(12). 1188–1191. 15 indexed citations
17.
Świerkot, Jerzy, Milena Iwaszko, Katarzyna Gębura, et al.. (2014). OP0071 Tnf-Alpha, TNF Receptor, HLA-E and NKG2A Gene Polymorphisms and Response to Anti-TNF-Alpha Treatement in Rheumatoid Arthritis. Annals of the Rheumatic Diseases. 73. 87–88. 2 indexed citations
18.
Iwaszko, Milena & Katarzyna Bogunia‐Kubik. (2011). Clinical Significance of the HLA-E and CD94/NKG2 Interaction. Archivum Immunologiae et Therapiae Experimentalis. 59(5). 353–367. 79 indexed citations
19.
Iwaszko, Milena & Katarzyna Bogunia‐Kubik. (2011). The role of HLA-E polymorphism in immunological response. Postępy Higieny i Medycyny Doświadczalnej. 65. 616–626. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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